[WIP] proposal for ONNX export feature #20
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plstcharles
approved these changes
Aug 31, 2020
| @@ -360,7 +360,7 @@ So, first off, let's start by training a classification model using the followin | |||
| The above configuration essentially means that we will be training a ResNet model with | |||
| default settings on CIFAR10 using all 10 classes. You can launch the training process via:: | |||
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| $ thelper new <PATH_TO_CLASSIF_CIFAR10_CONFIG>.json <PATH_TO_OUTPUT_DIR> | |||
| $ thelper new -c <PATH_TO_CLASSIF_CIFAR10_CONFIG>.json -d <PATH_TO_OUTPUT_DIR> | |||
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Good catch on these, there's probably a ton of other dead CLI examples due to the commandline changes, I should go around and fix them...
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add export functionalities for ONNX
(managed to export the ResNet checkpoint generated by
example-classif-cifar10configupdate some docs
import/convert ONNX to PyTorch sadly cannot be done for now (at least no official method)
(Import ONNX model to Pytorch pytorch/pytorch#21683)